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In this work, we introduce NU-Wave, the first neural audio upsampling modelto produce waveforms of sampling rate 48kHz from coarse 16kHz or 24kHz inputs,while prior works could generate only up to 16kHz. NU-Wave is the firstdiffusion probabilistic model for audio super-resolution which is engineeredbased on neural vocoders. NU-Wave generates high-quality audio that achieveshigh performance in terms of signal-to-noise ratio (SNR), log-spectral distance(LSD), and accuracy of the ABX test. In all cases, NU-Wave outperforms thebaseline models despite the substantially smaller model capacity (3.0Mparameters) than baselines (5.4-21%). The audio samples of our model areavailable at https://mindslab-ai.github.io/nuwave, and the code will be madeavailable soon.

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling